Authors: Jean Kossaifi, Nikola Kovachki, Zongyi Li, Davit Pitt, Miguel Liu-Schiaffini, Robert Joseph George, Boris Bonev, Kamyar Azizzadenesheli, Julius Berner, Anima Anandkumar
Abstract: We present NeuralOperator, an open-source Python library for operator
learning. Neural operators generalize neural networks to maps between function
spaces instead of finite-dimensional Euclidean spaces. They can be trained and
inferenced on input and output functions given at various discretizations,
satisfying a discretization convergence properties. Built on top of PyTorch,
NeuralOperator provides all the tools for training and deploying neural
operator models, as well as developing new ones, in a high-quality, tested,
open-source package. It combines cutting-edge models and customizability with a
gentle learning curve and simple user interface for newcomers.
Source: http://arxiv.org/abs/2412.10354v1
